Vehicle Function Geofencing for Low-Overhead Location Actions
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Solution Overview
Problem
Existing electric vehicle systems waste energy, computing resources, and network resources due to unnecessary location-based actions and data transmissions during functions like charging or software updates.
Innovation Solution
Implementing a function-based geofencing system in electric vehicles that determines if a vehicle is within a predefined geofence before initiating actions related to a function, using localized processing to reduce unnecessary energy and network usage by transmitting only a label associated with the geofence rather than the actual location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle continuously transmits location data and performs location-based actions during functions like charging or software updates, then location-based services are maintained, but energy consumption, computing resources, and network resources are wasted
Solution Approach 1:
The system determines whether the vehicle is within a geofence before initiating location-based actions during functions like charging or software updates. This preliminary check prevents unnecessary actions from being performed when the vehicle is outside the designated area, thereby conserving energy, computing resources, and network resources while maintaining service availability when needed.
Solution Approach 2:
Instead of continuously performing all location-based actions, the system performs only the necessary actions based on geofence status. This partial action approach avoids excessive processing and transmission during functions where location-based actions are not required, reducing resource consumption while maintaining essential services.
2Measurement precision
If the vehicle transmits actual location data for geofence verification, then precise location-based actions can be performed, but network congestion increases and location privacy is compromised
Solution Approach 1:
The system extracts only the necessary information for geofence verification and transmits a label indicating whether the vehicle is within the geofence, rather than transmitting the actual location coordinates. This approach maintains the functionality of location-based actions while significantly reducing the volume of data transmitted over the network and preserving location privacy.
3Adaptability or versatility
If the vehicle performs all location-based actions regardless of function state, then comprehensive service coverage is maintained, but processor loading and energy consumption increase
Solution Approach 1:
The system dynamically adjusts the performance of location-based actions based on the current function state and geofence status. During functions like charging or software updates, the system checks geofence status and performs location-based actions only when appropriate, reducing processor loading and energy consumption while maintaining service coverage when needed.
Data Source
AI summary
A system includes one or more processors, coupled with memory, of a vehicle. The system detects execution of a function of the vehicle. The system identifies, responsive to detection of the execution of the function, a location of the vehicle. The system determines that the location of the vehicle satisfies the geofence. The system can determine that the location satisfies the geofence responsive to execution of the function and based on a comparison of the location of the vehicle with a geofence stored in memory of the vehicle. The system performs an action corresponding to the execution of the function of the vehicle. The system can perform the action responsive to the determination that the location of the vehicle satisfies the geofence stored in memory of the vehicle.